django-pgpubsub VS streamlit

First I would stick with celery if possible. I am not aware of something like that that is widely adopted. you could write your own crontab scripts or a combination of crontab script that writes to db with some listener like this https://github.com/Opus10/django-pgpubsub or use this one https://github.com/kraiz/django-crontab But both projects are not widely used or do not seem to be well maintained. I hope I was able to be of any help.

If you're using Postgres, you could consider https://github.com/Opus10/django-pgpubsub

django-pgpubsub – A distributed task processing framework for Django built on top of the Postgres NOTIFY/LISTEN protocol

Rather than relying on signals and celery, we may want to consider borrowing a pattern from the land of Postgres: Triggers and NOTIFY/LISTEN. The library django-pgpubsub offers a django application layer abstraction of this pattern. We can refactor our above solution using django-pgpubsub to look as follows:

You could try https://github.com/Opus10/django-pgpubsub. This is distributed task processing framework for Django built on top of the Postgres NOTIFY/LISTEN protocol. Does what you're looking for and isn't as operationally heavy as something like celery.

A common pattern in modern web development is the requirement to process data asynchronously after some user action or database event. In the below article, I describe via a concrete example a traditional approach to solving this problem for a Django/Postgres based application using django signals and Celery. I then proceed to discuss some of the shortcomings of this approach and demonstrate how using django-pgpubsub can offer a lightweight and more robust solution.

I decided to use Streamlit to build the UI as it is a popular and fitting choice. Streamlit is an open-source Python library used for building interactive web applications specially for AI and data applications. Since the application code is written only in Python, it is easy to learn and build with.

Streamlit (https://streamlit.io/)

Does it need to be live (i.e when database or underlying spreadsheet updates does it need to be reflected in real time on the dashboard) or are you ok with static display.

Live updating data is a pain I've messed around using javascript to force refresh html iframes on a timer. But I was never really satisfied with this. I've heard you can do things with websockets but that is starting to get too complicated for me (I'm not a programmer).

For static stuff one of the data scientists in my org pointed me to Streamlit (https://streamlit.io/) it's a python package I found very easy to use. Can easily combine SQL with CSV imports and display them all on one dashboard. Can use forms toggle butotns etc to control the display.

Note that there are many tools that make this easier/simpler to prototype, including chainlit, streamlit, etc… The backend API we built is amenable to interacting with them as well.

2.-Go to https://streamlit.io, log in, and create a new app from your GitHub repository.

Developed using Langchain and Streamlit technologies for enhanced performance.

Hello,

Have you ever seen the https://streamlit.io/ ? I think this is what you are looking for.

While building dashboards in Streamlit, I found myself really missing Buefy's (Bulma) modern web components.

Specially due to the inability to add new values to Streamlit's multiselect [1], some missing controls like a polished image carousel [2] or a highly customizable data table.

Long story short, we put together streamfy (Streamlit + Buefy) as an MIT licensed project in GitHub to bring Buefy to Streamlit.

Demo: https://streamfy.streamlit.app

All the form components are implemented, missing half of other non-form UX components. There is plenty of room for PRs, testing, feedback, documentation, example, etc.

Please send issues and contributions to GitHub project [3] and general feedback to X / Twitter [4]

Thanks!

[1] https://github.com/streamlit/streamlit/issues/5348

Here's your savior, let's welcome Streamlit.

Looks cool. How do you see this differing from streamlit? https://streamlit.io/